# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Verstorbenen in Berlin
#
# Version  : 2025-03-09/2011
# Autor    : Dietmar Lippold
# Projekt  : https://covid19-de-stats.sourceforge.io/
# Lizenz   : dl-de/by-2-0, https://www.govdata.de/dl-de/by-2-0
# Grundlage: Daten vom Robert Koch-Institut (RKI), dl-de/by-2-0
#
# Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2020-11-01, Infinity, Infinity, 25.000, 75.000
2020-11-02, -100.000, 100.000, 40.000, 29.412
2020-11-03, NaN, 133.333, 37.500, 63.636
2020-11-04, NaN, -20.000, -15.385, -16.667
2020-11-05, 100.000, 50.000, 20.000, 33.333
2020-11-06, Infinity, -33.333, -64.286, -50.000
2020-11-07, NaN, 0.000, 25.000, 16.667
2020-11-08, -100.000, 100.000, -80.000, -57.143
2020-11-09, Infinity, 12.500, 14.286, 27.273
2020-11-10, Infinity, -57.143, 36.364, 5.556
2020-11-11, NaN, 25.000, 45.455, 40.000
2020-11-12, -100.000, -33.333, 0.000, -20.000
2020-11-13, -100.000, 25.000, 160.000, 80.000
2020-11-14, NaN, 0.000, 80.000, 57.143
2020-11-15, Infinity, 50.000, 400.000, 200.000
2020-11-16, -33.333, -33.333, 50.000, 14.286
2020-11-17, 0.000, 66.667, -6.667, 5.263
2020-11-18, Infinity, 0.000, -43.750, -28.571
2020-11-19, NaN, 50.000, 33.333, 37.500
2020-11-20, Infinity, 100.000, 15.385, 44.444
2020-11-21, NaN, -50.000, -66.667, -63.636
2020-11-22, -100.000, 0.000, 120.000, 55.556
2020-11-23, 0.000, 133.333, -12.500, 15.625
2020-11-24, 400.000, 40.000, 85.714, 90.000
2020-11-25, -100.000, 100.000, 188.889, 140.000
2020-11-26, NaN, 83.333, 56.250, 63.636
2020-11-27, 100.000, -30.000, 66.667, 30.769
2020-11-28, NaN, 200.000, 166.667, 175.000
2020-11-29, NaN, 0.000, -45.455, -35.714
2020-11-30, -50.000, -50.000, 9.524, -16.216
2020-12-01, -100.000, 42.857, -3.846, -5.263